Detection of retroreflective objects based on search for spatial anomalies

Abstract

This work is devoted to the study of methods for detecting retroreflective objects, including optical and optoelectronic observation devices, based on the search for spatial anomalies in images formed in pulsed laser ranging systems. Algorithms, software and hardware for detecting retroreflective objects have been developed. At the same time, special attention is paid to various ways of forming difference frames with periodic illumination, including with the preliminary replacement of each pixel of the background images by the maximum value for the corresponding neighborhood. The effectiveness of the proposed methods for detecting retroreflective objects exposed to bright sunlight, despite the presence of (mirror and diffuse) reflecting surfaces in the field of view, is demonstrated.